Zobrazeno 1 - 10
of 140
pro vyhledávání: '"Bartoli, Nathalie"'
Publikováno v:
Struct Multidisc Optim 67, 81 (2024)
Recently, there has been a growing interest in mixed-categorical metamodels based on Gaussian Process (GP) for Bayesian optimization. In this context, different approaches can be used to build the mixed-categorical GP. Many of these approaches involv
Externí odkaz:
http://arxiv.org/abs/2311.06130
Autor:
Saves, Paul, Lafage, Remi, Bartoli, Nathalie, Diouane, Youssef, Bussemaker, Jasper, Lefebvre, Thierry, Hwang, John T., Morlier, Joseph, Martins, Joaquim R. R. A.
Publikováno v:
Advances in Engineering Software Volume 188, February 2024, 103571
The Surrogate Modeling Toolbox (SMT) is an open-source Python package that offers a collection of surrogate modeling methods, sampling techniques, and a set of sample problems. This paper presents SMT 2.0, a major new release of SMT that introduces s
Externí odkaz:
http://arxiv.org/abs/2305.13998
Autor:
Saves, Paul, Lafage, Rémi, Bartoli, Nathalie, Diouane, Youssef, Bussemaker, Jasper, Lefebvre, Thierry, Hwang, John T., Morlier, Joseph, Martins, Joaquim R.R.A.
Publikováno v:
In Advances in Engineering Software February 2024 188
Autor:
Menz, Morgane, Dubreuil, Sylvain, Morio, Jérôme, Gogu, Christian, Bartoli, Nathalie, Chiron, Marie
Running a reliability analysis on engineering problems involving complex numerical models can be computationally very expensive, requiring advanced simulation methods to reduce the overall numerical cost. Gaussian process based active learning method
Externí odkaz:
http://arxiv.org/abs/2011.15001
An efficient application of Bayesian optimization to an industrial MDO framework for aircraft design
Autor:
Priem, Remy, Gagnon, Hugo, Chittick, Ian, Dufresne, Stephane, Diouane, Youssef, Bartoli, Nathalie
The multi-level, multi-disciplinary and multi-fidelity optimization framework developed at Bombardier Aviation has shown great results to explore efficient and competitive aircraft configurations. This optimization framework has been developed within
Externí odkaz:
http://arxiv.org/abs/2006.08434
Bayesian optimization methods have been successfully applied to black box optimization problems that are expensive to evaluate. In this paper, we adapt the so-called super effcient global optimization algorithm to solve more accurately mixed constrai
Externí odkaz:
http://arxiv.org/abs/2005.05067
Publikováno v:
In Aerospace Science and Technology November 2023 142 Part B
Publikováno v:
In Aerospace Science and Technology July 2023 138
Autor:
PALLADINO, Vincenzo, BARTOLI, Nathalie, POMMIER-BUDINGER, Valérie, BENARD, Emmanuel, SCHMOLLGRUBER, Peter, JORDAN, Arnaud
Publikováno v:
In Chinese Journal of Aeronautics May 2023 36(5):41-56